Cursor インストールガイド
開発者向け MCP サーバーとよく使われる AI コードエディタ。
MCP Servers

MCP server for enabling LLM applications to perform deep research via the MCP protocol

Let Claude be your Redmine assistant! MCP Redmine connects Claude Desktop to your Redmine instance, allowing it to:

MCP Server for running code snippet and show the result.

See a demo here: https://www.youtube.com/watch?v=KG6TMLD8GmA

Watched how we used GPT-5 and Claude Code with nano-agents here.

Funplay MCP for Unity The Most Advanced MCP Server for Unity Editor 中文 | English

All APIs included are public and free - no Dexscreener API key required to get started. Optional free Moralis key unlocks holder data.

Watch Skill turns videos, live streams, meetings, and screen recordings into a searchable, timestamped index.

mcp-name: io.github.surendranb/google-analytics-mcp

MCP server connecting to Kubernetes

This project provides an MCP server acting as an interface to the Meta Ads, enabling programmatic access to Meta Ads data and management features.

Codemogger is a code indexing library and MCP server for AI coding agents
Agent Skills

SigNoz Website

Open-source Claude Code plugin porting the internal /skillify skill: turn a finished session's repeatable workflow into a reusable SKILL.md you can rerun with a slash command.

Claude Code skill + Remotion scaffold for building polished product launch videos.

Permissionless infrastructure for agents. No human intervention required.

Develop Swift/iOS projects using VSCode

Sync and store bookmarks locally, manage Field Theory Library and command workflows, and make local context available to Claude Code, Codex, or any agent with shell access.

如果在使用过程中遇到问题,请通过 Issues 反馈功能正确性问题和功能请求,其他问题请通过 Discussions 反馈~

VS Code in the terminal

Generate app icon artwork and Google Play feature graphics from the terminal with OpenAI or Google Gemini.

Fill-in-your-own-data framework for YouTube / short-form video automation: CapCut JSON + ffmpeg tooling + an onboarding questionnaire. Ships with zero private data.

🚧 We are actively refining our core, resumption protocols, and runtime specifications, which will introduce major breaking changes prior to a stable release.
One Python API: store media, run models, index embeddings, serve endpoints, and version everything in a single system instead of gluing together blob storage, a vector DB, an orchestrator, and edge...